AC

Alex Cooper

Co-Founder · Human² / adcrate

Alex Cooper co-founded Adcrate, a performance creative agency producing 1,000+ ads/month for 8- and 9-figure DTC brands, and Human², an AI consultancy training enterprise teams like Unilever and Virgin Voyages. He's the loudest advocate for strategists becoming "Creative Strategist Prompt Engineers" — not because AI replaces the craft, but because training models with deep context is the new competitive moat. Known for an aggressively AI-forward, deeply skeptical stance: he ships AI ads that spend six figures, and still insists the fundamentals of psychology and customer language will matter in 20 years.

Distinctive beliefs, repeated across talks

How Alex Cooper thinks about ai creative

01

Strategists Won't Be Replaced By AI — Only By Other Strategists Using AI Better

Cooper's most-repeated line. He rejects the 'AI will take our jobs' panic but is equally dismissive of strategists who ignore it. The industry is splitting into two paths: those who bear-hug AI now and compound over 1-2-5 year horizons, and those who get left behind. He frames this as historically consistent with ATMs, computers, and online shopping — tech changes make the best better and the rest expendable.

"Creative strategists won't be replaced by AI. They'll be replaced by another creative strategist using AI better than them."

"AI will make the best better and the rest expendable."

"Those who adapt and embrace AI and use it will become a better marketer. Those who ignore AI and don't invest the time in learning it will get left behind."

02

90% of Creative Problems Are Research Problems

An internal Adcrate saying he returns to repeatedly. Bad ads are downstream of bad research, and most strategists mistake 'checking boxes' (looked at reviews, looked at Reddit) for actually finding the golden-nugget language customers use. The brand that knows its audience best wins — and that means mining real emotive phrases, inside jokes, and failed solutions, not writing clever copy.

"90% of your creative problems can be traced back to not doing a good enough research."

"Bad research equals bad ads."

"The brand that knows their audience the best wins."

03

Training AI Is Hard Work That Most People Skip

Cooper's core counter to 'AI outputs aren't good enough.' The models are capable; strategists are just lazy prompters. He treats AI like an intern who will never meet you, never ask questions, and must do the task every day forever — which forces you to stack 10+ good examples with reasons WHY they're good, 10+ bad examples with reasons, and build reusable prompts rather than ad-hoc chatting. Most people stop at a two-sentence prompt.

"If you cannot get great outputs from AI, then you just need to train the model better."

"I really don't think it's that hard to train AI models — I just think that most people don't put in anywhere near the amount of effort that you need."

"If there were an intern starting tomorrow that I would never meet and never be able to communicate to, and I could only give them one set of instructions to complete this task every day for the rest of their life, what instructions would I give them?"

04

Build Prompt Libraries, Not One-Off Prompts

He's against copying other people's prompts. The muscle you develop is turning your own manual research workflow into a systematized prompt library (spreadsheet or Notion). Build once, pay yourself forever. This is also why he's skeptical of 'magic prompt' Twitter posts — the value isn't in the prompt itself, it's in the context library and workflow behind it.

"I like to build things that I have to do once and then it pays me for a long time."

"I don't want to just give you guys prompts. I would rather get you to get into the habit of building your own prompt libraries."

"I think there's going to be a premium on strategists in the next few years that know how to ask the right questions to AI."

05

Don't Run Raw AI UGC — Mask It With Real Footage

Cooper was early on Arcads/AI UGC and has run ads spending $100k+ with them, but he's adamant most people deploy it wrong. Raw, uncut AI UGC with a text overlay doesn't stand on its own — the tech isn't good enough yet. Winning AI ads interlace AI talking-heads with real B-roll, green screens, short clips, and authentic footage. 'If it worked standalone, it worked in spite of the creative, not because of it.'

"If you have run it standalone and it has worked, it has worked in spite of the creative, not because of."

"If you interlace it with real footage, it's very difficult for a let alone a marketer, let alone a consumer to be able to tell that these are AI creators."

06

More AI Creative Means Ads Will Get Uglier

A contrarian prediction: as AI floods the feed, users will build up tolerance and gravitate toward signals of authenticity — low angles, double chins, phone-down shots. The best creative teams will run both tracks: humans for personality and authenticity, AI for volume and scale. He's genuinely uncertain whether AI video (Veo 3 and beyond) will eventually collapse this distinction, which is why he says the only real moat is fundamentals.

"More AI creative equals ads will get uglier."

"Users will build up a tolerance to AI-generated ads in the same way they built up a tolerance to traditional UGC."

"The best creative teams will utilize both styles: humans for personality and AI for volume."

07

The Goal of Iteration Is Lifespan, Not Beating the Original

A specific operating belief he presses against the industry obsession with 'beating winners.' Iterations rarely outperform the original winning ad — that's not the point. The point is to squeeze more spend and days out of a proven winner by refreshing it before saturation. This reframes how strategists should prioritize iteration work and how media buyers should structure testing/scaling campaigns.

"The goal of iterating is not to beat the original ad... The goal here is to extend the lifespan of this ad."

"85% of our winning ads in 2023 were mashups."

"If it's working, do not turn it off."

Citation-ready quotes from across the corpus

Alex Cooper's most cited quotes

"Creative strategists won't be replaced by AI. They'll be replaced by another creative strategist using AI better than them."

His single most-repeated position — the framing for why strategists should upskill now rather than fear AI.

"The majority of the research process is repetitive. And if it's repetitive, then that means it can be systemised. And if it can be systemised, then that means it can be done by AI."

His logical chain for why audience research will be AI-driven and strategists need to transition into prompt engineers.

"The only people that I've seen make good ads with AI are people who can make good ads without AI."

His fundamentals-over-tools stance — AI amplifies existing skill but doesn't substitute for it.

"If you have run it standalone and it has worked, it has worked in spite of the creative, not because of."

His take on raw AI UGC ads — the tech isn't good enough to stand alone without being masked with real footage.

"The goal of iterating is not to beat the original ad... The goal here is to extend the lifespan of this ad."

Reframing iteration away from 'beat the winner' toward squeezing more spend out of proven winners before saturation.

"Let's stop glorifying hook rates and hold rates like they mean anything for performance. They are good diagnostics to see if we can improve an ad, but it does not mean anything about how the ad performed at the end of the day if you do not have relevant attention."

Direct attack on the industry obsession with top-of-funnel video metrics as performance indicators.

Named methodologies Alex has introduced or articulated

Alex Cooper's frameworks

Creative Strategist Prompt Engineer

The role Cooper argues every strategist must evolve into. Value is created across four dimensions: quality of direction (strategy/focus), quality of ideas (taste), quality of systems (agents), and quality of context (training data). Strategists should transition via a 4-step process: add AI tools to their tech stack, become an A+ prompter, build AI workflows, and scale AI across the business.

  1. Add AI Tools to your tech stack
  2. Become an A+ Prompter
  3. Build AI Workflows
  4. Scale AI Across your Business

Floor vs. Ceiling Model (Before/After Agentic AI)

Cooper's mental model for what AI does to creative quality. Pre-AI, there's a huge gap between the quality floor and ceiling — most ads are mediocre. Post-AI, the floor rises dramatically but the ceiling barely moves. The value shifts from knowing HOW to create to knowing WHAT to create.

Audience OneSheet

A single-page document Cooper uses as the home base for every brand's creative strategy. Six sections: Benefits, Features, Pain Points, Objections, Failed Solutions, Other. Fill each section with what you know, then stack customer reviews as supporting evidence under each point, then expand via the Audience Research Checklist (reviews, ad comments, competitor research, ad account, tickets/surveys, social listening).

Context Library / Training Manual for AI

Cooper's method for getting consistently good outputs from ChatGPT or Claude. For any repeatable task, assemble: (1) a clear task definition, (2) a how-to guide (e.g., transcript of a tutorial), (3) 10+ good examples with reasons WHY they're good, (4) 10+ bad examples with reasons WHY they fail. Iterate over time and share via Notion or Google Doc so the whole team can benefit.

Ad Formats AI Will Struggle to Replicate (for now)

Five formats Cooper argues AI can't yet authentically produce: Ugly Ads, BTS (behind-the-scenes), Organic UGC, Authentic Conversations, and Authority Figures. He explicitly qualifies 'for now' — Veo 3 made him revise the timeline downward. Creative teams should lean into these formats to differentiate from the flood of AI-generated content.

Two Ways to Create DR Ads with Midjourney

Cooper's simple framework for direct-response image-gen: either lead with benefits (aspirational imagery of the outcome) or pain points (visual of the problem). Skip complex prompt engineering — use a strong reference ad where the product slots in easily and let Midjourney do the rest. 'The less uncertainty you give it, the more reliable the outputs.'

Incentivise AI Adoption (7 Tactics)

Cooper's playbook for scaling AI across a creative team: (1) give easy access to paid AI tools, (2) host internal hackathons, (3) have a monthly AI experimentation day, (4) set bounties for workflow/agent builds, (5) create a Slack channel for sharing AI wins, (6) maintain centralized prompt and context libraries, (7) KPI team members against AI objectives.

  1. Give easy access to AI tools
  2. Host hackathons for your team
  3. Have an AI experimentation day
  4. Set bounties for workflow/agent builds
  5. Create a Slack channel for sharing AI wins
  6. Give easy access to prompt and context libraries
  7. KPI team members against AI objectives
The framings Alex keeps returning to

Alex Cooper's signature questions

5 talks in Motion's library

All Alex Cooper talks